A Multicenter Evaluation of the Impact of Therapies on Deep Learning-based Electrocardiographic Hypertrophic Cardiomyopathy Markers.
Lovedeep Singh DhingraVeer SanghaArya AminorroayaRobyn BrydeAndrew GaballaAdel H AliNandini MehraHarlan M KrumholzSounok SenChristopher M KramerMatthew W MartinezMilind Y DesaiEvangelos K OikonomouRohan KheraPublished in: medRxiv : the preprint server for health sciences (2024)
The lack of improvement in AI-based HCM score with SRT, in contrast to a significant decrease with mavacamten, suggests the potential role of AI-ECG for serial monitoring of pathophysiological improvement in HCM at the point-of-care using ECG images.
Keyphrases
- hypertrophic cardiomyopathy
- deep learning
- artificial intelligence
- left ventricular
- convolutional neural network
- heart rate variability
- heart rate
- machine learning
- magnetic resonance
- heart failure
- left atrial
- mitral valve
- cross sectional
- human health
- clinical trial
- double blind
- computed tomography
- magnetic resonance imaging
- contrast enhanced
- atrial fibrillation
- climate change